mgartner/pg_flame
A flamegraph generator for Postgres EXPLAIN ANALYZE output. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2513
- days_rel: n/a
- days_push: 2424
- n_releases_24m: 0
Adoption not part of the score
1620 stars · 36 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
pg_flame is a command-line tool that converts Postgres EXPLAIN ANALYZE JSON output into an interactive flamegraph HTML visualization. It helps developers see where time is spent in query plan execution.
Use cases
- visualize postgres query plan execution times as a flamegraph
- debug slow postgres queries
- turn EXPLAIN ANALYZE JSON output into a flamegraph
- find which parts of a query plan consume the most time
- profile postgres query performance
When to choose
- you want a quick, pipeable CLI to visualize Postgres EXPLAIN ANALYZE output
- you prefer simple stdin/stdout Unix-style tooling
- you need a lightweight alternative to full query analyzers
When to avoid
- you need a GUI query analyzer with historical tracking
- you use databases other than Postgres
- you need actively developed features or support
Facets
cli-tool · maturity maintenance
data-visualization developer-tools databases performance developer-tools cli windows flamegraph postgresql explain-analyze query-plans go linux macos docker
1 source
- readme: https://github.com/mgartner/pg_flame · fetched 2026-08-28 · 40e641869fe0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mgartner/pg_flame | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="mgartner/pg_flame")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem